A comparison of visual features used by humans and machines to classify wildlife

bioRxiv, pp. 450189-27, 2018.

Cited by: 3|Bibtex|Views32|

Abstract:

In our quest to develop more intelligent machines, knowledge of the visual features used by machines to classify objects shall be helpful. The current state of the art in training machines to classify wildlife species from camera-trap data is to employ convolutional neural networks (CNN) encoded within deep learning algorithms. Here we re...More

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